Get Expertly Managed NoSQL Databases With Our MongoDB Services

DataFlask offers both MySQL and PostgreSQL database management services. While MySQL is known for its popularity and ease of use, Postgres offers more advanced functionalities, and yet it has an almost similar standard querying syntax with some differences here and there. A lot of database experts in many companies like to use Postgres because of its advanced functionalities. These functionalities give companies an edge over those that still use MySQL. We at DataFlask acknowledge the importance of Postgres, and hence we offer comprehensive PostgreSQL database management services.

Problems That MongoDB Solves

Change Data Whenever-Wherever

No More Slow Operation

Truly Open Source

Why Would You Want To Use MongoDB?

A company’s Data Analytics endeavour can only be successful if it is able to collate all the data that it generates. This means that the organisation has to extract data from disparate sources. This is just one part of the problem. Enterprise data comes in different formats, and most of the time, they are semi-structured or unstructured. To make sense of the enterprise data, it must be cleaned and made usable. This is where our Data Engineering Services come in.

MongoDB is an awesome NoSQL database. The lack of distributed consistency in a NoSQL database like MongoDB frees itself from checking whether every node in the distributed network has the latest, updated data.

For complex, schemaless document structures – like articles, images or videos, MySQL falls short. This is where the importance of MongoDB shines.

The weakness of MongoDB is its strength. Since MongoDB does not need to adhere to ACID or wait for data synchronization, it performs efficiently in case of data-intensive (but low-risk) tasks. Since Mongo is more tilted towards performance instead of data synchronization, database tasks that require accuracy (like payment) must be handled by RDBMS.